2  Datasets & Variables

2.1 The CAMELS-CL dataset

• Minimum Temperature
• Maximum Temperature
• Precipitation
• Ground Water Rights
• Surface Water Rights
• PET

These datasets have temporal data, beginning around 1980 and ending around 2020 (depending on the dataset)

Link to the CAMELS-CL dataset: https://doi.pangaea.de/10.1594/PANGAEA.894885

Note: The CAMELS-CL dataset does include streamflow data, but due to large amounts of missing data, it was not incorporated into the model

2.2 Extracted from Sentinel-2 Satellite Imagery from GEE

• NDVI
• NDWI

Link to the Sentinel-2 dataset: https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2

These datasets have temporal data from 2019 to 2024

2.3 OpenTopography’s API service

• Elevation
• Elevation standard deviation

Link to OpenTopography’s website: https://opentopography.org/

2.4 DGA datasets

• Number of reservoirs

Link to download: https://dga.mop.gob.cl/uploads/sites/13/2024/07/Embalses-1.zip

2.5 Development of Groundwater Levels Dataset for Chile since 1970 publication in Nature

• Number of boreholes/wells

Link to the publication: https://www.nature.com/articles/s41597-023-02895-5

2.6 MapBiomas

• Protected/park land data (m^2 and percentage of whole)

Link to MapBiomas: https://chile.mapbiomas.org/en/mapas-de-la-coleccion/

2.7 Variables not included

Several variables that are important for consideration when examining factors that determine overall health of a bofedal but do not have readily avalible datasets include:

• Bofedal management strategies
• Population dynamics in herding communities
• Carrying capacity of ganandos by species

Socioeconomic variables such as these are addressed later in the study through case studies and field work.